-------------------------------------------------------------------------------------------------------------------------------------------
       log:  C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\table4.log
  log type:  text
 opened on:   3 May 2006, 22:51:18

. ******************************************
. **     INTERACTION EFFECTS MODELS       **
. ******************************************
. 
. *** Coherent Democracy - Education Exchange - Latin America ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta", clear

. *use "dem-stset.dta"
. gen LatAm_IMET = LatAm*IMETyesno

. gen IMETyesnoxtime=IMETyesno*_t

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> LatAm_IMET
> LatAm
> soviet_foreign_asst 
> USeconaid_norm 
> newc
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno
> christian_majority_yesno
> IMETyesnoxtime,
> bases(consoldem_surv) basehc(consoldem_hazard) basechazard(consoldem_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  demfail1 == 1
   analysis time _t:  timed1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -77.771015
Iteration 1:   log pseudolikelihood = -73.290143
Iteration 2:   log pseudolikelihood = -54.607511
Iteration 3:   log pseudolikelihood = -53.017916
Iteration 4:   log pseudolikelihood = -50.025611
Iteration 5:   log pseudolikelihood =  -49.98713
Iteration 6:   log pseudolikelihood = -49.984924
Iteration 7:   log pseudolikelihood = -49.984245
Iteration 8:   log pseudolikelihood = -49.983995
Iteration 9:   log pseudolikelihood = -49.983903
Iteration 10:  log pseudolikelihood = -49.983869
Iteration 11:  log pseudolikelihood = -49.983856
Iteration 12:  log pseudolikelihood = -49.983852
Iteration 13:  log pseudolikelihood =  -49.98385
Iteration 14:  log pseudolikelihood =  -49.98385
Iteration 15:  log pseudolikelihood = -49.983849
Iteration 16:  log pseudolikelihood = -49.983849
Iteration 17:  log pseudolikelihood = -49.983849
Iteration 18:  log pseudolikelihood = -49.983849
Iteration 19:  log pseudolikelihood = -49.983849
Refining estimates:
Iteration 0:   log pseudolikelihood = -49.983849

Cox regression -- Efron method for ties

No. of subjects      =           89                Number of obs   =      1350
No. of failures      =           19
Time at risk         =         1350
                                                   Wald chi2(12)   =         .
Log pseudolikelihood =   -49.983849                Prob > chi2     =         .

                                 (Std. Err. adjusted for 85 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   3.847117   5.267894     0.98   0.325     .2627709    56.32402
  LatAm_IMET |   7.06e+08          .        .       .            .           .
       LatAm |   3.91e-09   4.04e-09   -18.76   0.000     5.18e-10    2.96e-08
soviet_for~t |   2.905567   1.911545     1.62   0.105     .8002648    10.54941
USeconaid_~m |   2.00e+09   2.24e+10     1.92   0.055     .6436516    6.24e+18
        newc |    7.86766    7.21921     2.25   0.025     1.302566    47.52163
     britcol |   .3088822   .2088229    -1.74   0.082     .0820974    1.162134
      open_i |   .9847842   .0142688    -1.06   0.290     .9572113    1.013151
GDP_rescaled |   .5027596   .1409401    -2.45   0.014     .2902288     .870924
   Ethnic_gp |   8.025033   10.98232     1.52   0.128     .5489982    117.3067
muslim_maj~o |   13.71224   13.51568     2.66   0.008     1.986592    94.64728
christian_~o |   8.306882   11.58898     1.52   0.129     .5394141    127.9245
IMETyesnox~e |   .8062857   .1687345    -1.03   0.304     .5350011    1.215131
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |     -0.03486         0.07        1         0.7907
      LatAm_IMET  |            .            .        1             .
      LatAm       |     -0.46987         5.16        1         0.0232
      soviet_for~t|      0.01894         0.01        1         0.9263
      USeconaid_~m|      0.03921         0.04        1         0.8376
      newc        |     -0.29195         1.16        1         0.2820
      britcol     |     -0.21822         1.57        1         0.2105
      open_i      |     -0.28092         6.51        1         0.0108
      GDP_rescaled|     -0.13705         1.12        1         0.2897
      Ethnic_gp   |     -0.39226         6.66        1         0.0098
      muslim_maj~o|      0.06672         0.17        1         0.6819
      christian_~o|      0.30463         5.50        1         0.0190
      IMETyesnox~e|     -0.10847         0.93        1         0.3353
      ------------+---------------------------------------------------
      global test |                     15.85       13         0.2575
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** Coherent Authoritarian - Education Exchange - Latin America ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. gen LatAm_IMET = LatAm*IMETyesno

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> LatAm
> LatAm_IMET
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -334.78617
Iteration 2:   log pseudolikelihood = -331.50953
Iteration 3:   log pseudolikelihood = -331.48537
Iteration 4:   log pseudolikelihood = -331.48536
Refining estimates:
Iteration 0:   log pseudolikelihood = -331.48536

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(15)   =     39.32
Log pseudolikelihood =   -331.48536                Prob > chi2     =    0.0006

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |    2.51023   .7209559     3.20   0.001     1.429692    4.407423
       LatAm |   1.436868   .8113901     0.64   0.521     .4750605    4.345951
  LatAm_IMET |   .6875235   .4316498    -0.60   0.551     .2008516    2.353422
USmilact_y~o |   .9967046    .775371    -0.00   0.997     .2169638    4.578736
soviet_for~t |   .8709504   .2529675    -0.48   0.634     .4929036    1.538951
USeconaid_~m |   270506.6    2556324     1.32   0.186     .0024446    2.99e+13
        newc |   .1075536   .0720112    -3.33   0.001     .0289543    .3995178
     britcol |   6.981298   4.427218     3.06   0.002     2.014388    24.19519
      open_i |    .992999   .0042844    -1.63   0.103     .9846372    1.001432
GDP_rescaled |   .9823906   .0443256    -0.39   0.694     .8992447    1.073224
   Ethnic_gp |   .7329971   .3059078    -0.74   0.457     .3234918    1.660892
muslim_maj~o |   .7411156   .2328464    -0.95   0.340     .4003615    1.371891
christian_~o |    1.16882   .3211916     0.57   0.570     .6820834    2.002893
   newcxtime |   1.094287   .0431904     2.28   0.022     1.012827    1.182299
britcolxtime |   .8933665   .0347099    -2.90   0.004      .827862     .964054
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |     -0.05351         0.33        1         0.5672
      LatAm       |     -0.14561         2.92        1         0.0876
      LatAm_IMET  |      0.19530         4.85        1         0.0276
      USmilact_y~o|     -0.05341         0.47        1         0.4918
      soviet_for~t|      0.05092         0.36        1         0.5466
      USeconaid_~m|      0.08740         1.29        1         0.2557
      newc        |     -0.12259         2.14        1         0.1437
      britcol     |      0.12904         1.90        1         0.1681
      open_i      |      0.05203         0.63        1         0.4277
      GDP_rescaled|     -0.00213         0.00        1         0.9789
      Ethnic_gp   |     -0.05569         0.37        1         0.5417
      muslim_maj~o|     -0.12259         1.97        1         0.1604
      christian_~o|     -0.03899         0.15        1         0.6938
      newcxtime   |      0.15559         3.09        1         0.0788
      britcolxtime|     -0.14083         2.28        1         0.1311
      ------------+---------------------------------------------------
      global test |                     14.15       15         0.5143
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** MidGround to Democracy - Education Exchange - Latin America ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\mid-to-dem-stset.dta", clear

. *use "mid-to-dem-stset.dta"
. gen britcolxtime = britcol*_t

. gen IMETyesnoxtime=IMETyesno*_t

. gen LatAm_IMET = LatAm*IMETyesno

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> LatAm
> LatAm_IMET
> USmilact_yesno
> soviet_foreign_asst
> USeconaid_norm 
> newc
> britcol
> open_i 
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno 
> IMETyesnoxtime
> britcolxtime,
> bases(mgtodem_surv) basehc(mgtodem_hazard) basechazard(mgtodem_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  d1 == 1
   analysis time _t:  timem1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -163.55618
Iteration 1:   log pseudolikelihood = -145.18665
Iteration 2:   log pseudolikelihood = -143.34112
Iteration 3:   log pseudolikelihood = -142.77405
Iteration 4:   log pseudolikelihood = -142.42881
Iteration 5:   log pseudolikelihood =  -142.2366
Iteration 6:   log pseudolikelihood = -142.18606
Iteration 7:   log pseudolikelihood = -142.18292
Iteration 8:   log pseudolikelihood =  -142.1829
Refining estimates:
Iteration 0:   log pseudolikelihood =  -142.1829

Cox regression -- Efron method for ties

No. of subjects      =          135                Number of obs   =      1180
No. of failures      =           41
Time at risk         =         1180
                                                   Wald chi2(15)   =     25.11
Log pseudolikelihood =    -142.1829                Prob > chi2     =    0.0485

                                (Std. Err. adjusted for 105 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   10.27764   10.48998     2.28   0.022     1.390292    75.97679
       LatAm |   2.067589   1.811048     0.83   0.407     .3714304    11.50935
  LatAm_IMET |   .2865078   .2715544    -1.32   0.187     .0447055    1.836167
USmilact_y~o |   1.253862   1.687772     0.17   0.867     .0896361    17.53948
soviet_for~t |   1.663439    .755541     1.12   0.263     .6829481    4.051597
USeconaid_~m |    .403326   3.426399    -0.11   0.915     2.37e-08     6869385
        newc |   .7353188   .3258001    -0.69   0.488     .3085539    1.752348
     britcol |   4.726348   4.829839     1.52   0.129     .6378019    35.02399
      open_i |   .9948291   .0048096    -1.07   0.284      .985447    1.004301
GDP_rescaled |   1.099168    .060407     1.72   0.085     .9869263    1.224175
   Ethnic_gp |   3.631175    2.69827     1.74   0.083     .8463157     15.5798
muslim_maj~o |   .8918007   .4909779    -0.21   0.835     .3031389    2.623578
christian_~o |   1.599739   .6021026     1.25   0.212     .7650284    3.345188
IMETyesnox~e |   .8730566   .0621326    -1.91   0.056     .7593905    1.003736
britcolxtime |    .533338   .1881669    -1.78   0.075     .2671101    1.064915
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |      0.05804         0.44        1         0.5094
      LatAm       |      0.11518         1.56        1         0.2110
      LatAm_IMET  |     -0.11292         1.10        1         0.2953
      USmilact_y~o|      0.02618         0.06        1         0.8017
      soviet_for~t|     -0.01761         0.02        1         0.8796
      USeconaid_~m|      0.04638         0.13        1         0.7188
      newc        |      0.21416         3.59        1         0.0580
      britcol     |      0.00180         0.00        1         0.9900
      open_i      |     -0.02742         0.05        1         0.8236
      GDP_rescaled|     -0.10612         0.37        1         0.5449
      Ethnic_gp   |     -0.10902         0.91        1         0.3408
      muslim_maj~o|     -0.20027         3.06        1         0.0803
      christian_~o|     -0.14730         0.67        1         0.4144
      IMETyesnox~e|     -0.04437         0.20        1         0.6566
      britcolxtime|     -0.03419         0.06        1         0.8012
      ------------+---------------------------------------------------
      global test |                     11.65       15         0.7056
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** MidGround to Authoritarian - Educational Exchange - Latin America ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\mid-to-aut-stset.dta", clear

. *use "mid-to-aut-stset.dta"
. gen LatAm_IMET = LatAm*IMETyesno

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> LatAm
> LatAm_IMET
> USmilact_yesno
> soviet_foreign_asst 
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno,
> bases(mgtoaut_surv) basehc(mgtoaut_hazard) basechazard(mgtoaut_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  d2 == 1
   analysis time _t:  timem1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -124.52679
Iteration 1:   log pseudolikelihood =  -114.7691
Iteration 2:   log pseudolikelihood = -114.08034
Iteration 3:   log pseudolikelihood = -114.06782
Iteration 4:   log pseudolikelihood = -114.06781
Refining estimates:
Iteration 0:   log pseudolikelihood = -114.06781

Cox regression -- Efron method for ties

No. of subjects      =          135                Number of obs   =      1180
No. of failures      =           28
Time at risk         =         1180
                                                   Wald chi2(13)   =     21.37
Log pseudolikelihood =   -114.06781                Prob > chi2     =    0.0659

                                (Std. Err. adjusted for 105 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   .6007596   .2915713    -1.05   0.294     .2320494    1.555324
       LatAm |   .9538482    .968911    -0.05   0.963     .1302674    6.984297
  LatAm_IMET |   2.134882   2.598423     0.62   0.533     .1964957    23.19501
USmilact_y~o |   1.503772   2.664676     0.23   0.818     .0466506    48.47375
soviet_for~t |   1.698436   .7490226     1.20   0.230      .715588    4.031208
USeconaid_~m |   3.83e-10   6.87e-09    -1.21   0.227     2.08e-25    706279.7
        newc |   1.255313   1.078968     0.26   0.791     .2328766    6.766717
     britcol |    2.27138   .9404262     1.98   0.048     1.008938    5.113465
      open_i |   .9931269   .0058437    -1.17   0.241     .9817393    1.004647
GDP_rescaled |    .743359   .1290794    -1.71   0.088     .5289237     1.04473
   Ethnic_gp |   3.663236   2.744985     1.73   0.083     .8433953    15.91104
muslim_maj~o |   .7219318   .3445727    -0.68   0.495     .2832853     1.83979
christian_~o |   1.701508   .8589749     1.05   0.292     .6325874    4.576647
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |      0.01970         0.02        1         0.8863
      LatAm       |      0.13251         0.95        1         0.3305
      LatAm_IMET  |     -0.14563         1.86        1         0.1722
      USmilact_y~o|      0.02880         0.10        1         0.7472
      soviet_for~t|     -0.05499         0.13        1         0.7144
      USeconaid_~m|      0.06445         0.12        1         0.7332
      newc        |     -0.06668         0.43        1         0.5111
      britcol     |     -0.03443         0.04        1         0.8346
      open_i      |      0.16188         1.46        1         0.2264
      GDP_rescaled|     -0.16191         1.78        1         0.1827
      Ethnic_gp   |     -0.15425         1.04        1         0.3086
      muslim_maj~o|      0.01055         0.00        1         0.9534
      christian_~o|     -0.11329         0.43        1         0.5097
      ------------+---------------------------------------------------
      global test |                      8.83       13         0.7854
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** Coherent Authoritarian - Education Exchange - Military Dictator ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. gen mildict_IMET = mildictator*IMETyesno

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> mildictator
> mildict_IMET
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -330.52102
Iteration 2:   log pseudolikelihood =  -328.6433
Iteration 3:   log pseudolikelihood = -328.62319
Iteration 4:   log pseudolikelihood = -328.62318
Refining estimates:
Iteration 0:   log pseudolikelihood = -328.62318

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(15)   =     51.57
Log pseudolikelihood =   -328.62318                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   1.341894   .4905885     0.80   0.421     .6554261     2.74734
 mildictator |   .4631138   .2201213    -1.62   0.105     .1824339    1.175628
mildict_IMET |   3.625093   1.879338     2.48   0.013     1.312307    10.01389
USmilact_y~o |    .912628   .8348335    -0.10   0.920     .1519325    5.481973
soviet_for~t |   .7432417   .2101372    -1.05   0.294     .4270407    1.293573
USeconaid_~m |   370844.6    3470511     1.37   0.171     .0040115    3.43e+13
        newc |   .0902991   .0622513    -3.49   0.000     .0233816    .3487332
     britcol |   7.652348   5.298773     2.94   0.003     1.969658    29.73026
      open_i |   .9926665   .0044085    -1.66   0.097     .9840636    1.001345
GDP_rescaled |    .990087   .0421283    -0.23   0.815     .9108664    1.076198
   Ethnic_gp |   .7087655   .3025994    -0.81   0.420      .306967     1.63649
muslim_maj~o |   .8130991   .2549987    -0.66   0.509     .4397394    1.503459
christian_~o |     1.1956   .3350817     0.64   0.524     .6902815    2.070836
   newcxtime |   1.106423   .0451865     2.48   0.013     1.021311    1.198628
britcolxtime |   .8947013   .0366913    -2.71   0.007     .8256019     .969584
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |      0.04880         0.32        1         0.5727
      mildictator |     -0.06182         0.50        1         0.4792
      mildict_IMET|      0.03656         0.15        1         0.7006
      USmilact_y~o|     -0.04497         0.37        1         0.5448
      soviet_for~t|      0.05430         0.36        1         0.5469
      USeconaid_~m|      0.05528         0.53        1         0.4675
      newc        |     -0.13251         2.71        1         0.1000
      britcol     |      0.09359         1.29        1         0.2552
      open_i      |      0.03849         0.37        1         0.5426
      GDP_rescaled|     -0.00326         0.00        1         0.9689
      Ethnic_gp   |     -0.06299         0.55        1         0.4599
      muslim_maj~o|     -0.16187         3.38        1         0.0658
      christian_~o|     -0.05137         0.35        1         0.5569
      newcxtime   |      0.14165         2.72        1         0.0989
      britcolxtime|     -0.10781         1.66        1         0.1976
      ------------+---------------------------------------------------
      global test |                     10.61       15         0.7798
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** MidGround to Democracy - Education Exchange - Military Dictator ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\mid-to-dem-stset.dta", clear

. *use "mid-to-dem-stset.dta"
. gen britcolxtime = britcol*_t

. gen IMETyesnoxtime=IMETyesno*_t

. gen mildict_IMET = mildictator*IMETyesno

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> mildictator
> mildict_IMET
> USmilact_yesno
> soviet_foreign_asst
> USeconaid_norm 
> newc
> britcol
> open_i 
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno 
> IMETyesnoxtime
> britcolxtime,
> bases(mgtodem_surv) basehc(mgtodem_hazard) basechazard(mgtodem_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  d1 == 1
   analysis time _t:  timem1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -163.55618
Iteration 1:   log pseudolikelihood = -140.60786
Iteration 2:   log pseudolikelihood = -138.45415
Iteration 3:   log pseudolikelihood =  -137.6085
Iteration 4:   log pseudolikelihood = -137.09869
Iteration 5:   log pseudolikelihood = -136.83709
Iteration 6:   log pseudolikelihood = -136.77382
Iteration 7:   log pseudolikelihood = -136.76669
Iteration 8:   log pseudolikelihood = -136.76497
Iteration 9:   log pseudolikelihood = -136.76434
Iteration 10:  log pseudolikelihood = -136.76411
Iteration 11:  log pseudolikelihood = -136.76402
Iteration 12:  log pseudolikelihood = -136.76399
Iteration 13:  log pseudolikelihood = -136.76398
Iteration 14:  log pseudolikelihood = -136.76398
Iteration 15:  log pseudolikelihood = -136.76397
Iteration 16:  log pseudolikelihood = -136.76397
Iteration 17:  log pseudolikelihood = -136.76397
Iteration 18:  log pseudolikelihood = -136.76397
Iteration 19:  log pseudolikelihood = -136.76397
Iteration 20:  log pseudolikelihood = -136.76397
Iteration 21:  log pseudolikelihood = -136.76397
Refining estimates:
Iteration 0:   log pseudolikelihood = -136.76397

Cox regression -- Efron method for ties

No. of subjects      =          135                Number of obs   =      1180
No. of failures      =           41
Time at risk         =         1180
                                                   Wald chi2(14)   =         .
Log pseudolikelihood =   -136.76397                Prob > chi2     =         .

                                (Std. Err. adjusted for 105 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |    7.54219   6.254422     2.44   0.015     1.484676    38.31451
 mildictator |   1.27e-09   8.99e-10   -29.05   0.000     3.20e-10    5.08e-09
mildict_IMET |   1.64e+08          .        .       .            .           .
USmilact_y~o |   .9257869   1.263978    -0.06   0.955      .063733      13.448
soviet_for~t |   2.009523   1.007653     1.39   0.164      .752086    5.369309
USeconaid_~m |   2.181832   21.44855     0.08   0.937     9.36e-09    5.09e+08
        newc |   .8732638   .3909398    -0.30   0.762      .363147    2.099948
     britcol |   5.496898   5.674079     1.65   0.099     .7269079    41.56769
      open_i |   .9931138    .005604    -1.22   0.221     .9821907    1.004158
GDP_rescaled |   1.077193   .0609775     1.31   0.189     .9640711    1.203589
   Ethnic_gp |   5.172835   4.185797     2.03   0.042     1.059123    25.26451
muslim_maj~o |   1.119397   .6380148     0.20   0.843      .366295    3.420877
christian_~o |   1.253352   .4833173     0.59   0.558     .5886168    2.668783
IMETyesnox~e |   .8590095    .062576    -2.09   0.037     .7447162    .9908437
britcolxtime |   .5053049   .1738755    -1.98   0.047     .2574275    .9918641
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |     -0.14142         2.01        1         0.1560
      mildictator |      0.18560         5.62        1         0.0177
      mildict_IMET|      0.00000            .        1             .
      USmilact_y~o|      0.06901         0.50        1         0.4776
      soviet_for~t|     -0.00491         0.00        1         0.9645
      USeconaid_~m|      0.09732         0.54        1         0.4612
      newc        |      0.24617         6.09        1         0.0136
      britcol     |     -0.14518         1.21        1         0.2714
      open_i      |     -0.01663         0.03        1         0.8713
      GDP_rescaled|     -0.22264         1.62        1         0.2031
      Ethnic_gp   |     -0.18939         4.40        1         0.0359
      muslim_maj~o|     -0.28388         7.35        1         0.0067
      christian_~o|     -0.23804         2.11        1         0.1468
      IMETyesnox~e|      0.14283         2.28        1         0.1314
      britcolxtime|     -0.03812         0.08        1         0.7803
      ------------+---------------------------------------------------
      global test |                     17.39       15         0.2962
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** MidGround to Authoritarian - Educational Exchange - Military Dictator ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\mid-to-aut-stset.dta", clear

. *use "mid-to-aut-stset.dta"
. gen mildict_IMET = mildictator*IMETyesno

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> mildictator
> mildict_IMET
> USmilact_yesno
> soviet_foreign_asst 
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno,
> bases(mgtoaut_surv) basehc(mgtoaut_hazard) basechazard(mgtoaut_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  d2 == 1
   analysis time _t:  timem1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -124.52679
Iteration 1:   log pseudolikelihood = -106.59545
Iteration 2:   log pseudolikelihood = -105.25878
Iteration 3:   log pseudolikelihood = -105.23935
Iteration 4:   log pseudolikelihood = -105.23935
Refining estimates:
Iteration 0:   log pseudolikelihood = -105.23935

Cox regression -- Efron method for ties

No. of subjects      =          135                Number of obs   =      1180
No. of failures      =           28
Time at risk         =         1180
                                                   Wald chi2(13)   =     52.95
Log pseudolikelihood =   -105.23935                Prob > chi2     =    0.0000

                                (Std. Err. adjusted for 105 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   .1693225   .1296969    -2.32   0.020     .0377324    .7598266
 mildictator |    .877818   .6018613    -0.19   0.849     .2289772    3.365245
mildict_IMET |   14.47352   14.10911     2.74   0.006     2.141924    97.80128
USmilact_y~o |   1.410746   2.041904     0.24   0.812     .0826848    24.06977
soviet_for~t |   1.412713   .6089566     0.80   0.423     .6069308    3.288277
USeconaid_~m |   7.53e-12   1.18e-10    -1.63   0.103     3.14e-25    180.1715
        newc |   1.193976   .6657145     0.32   0.751      .400312    3.561168
     britcol |   2.404587   1.022148     2.06   0.039     1.045225    5.531863
      open_i |   .9934761   .0059327    -1.10   0.273      .981916    1.005172
GDP_rescaled |   .7876404   .1267482    -1.48   0.138     .5745813    1.079704
   Ethnic_gp |   2.191717   1.846617     0.93   0.352     .4203491     11.4277
muslim_maj~o |   .4297546   .2342431    -1.55   0.121     .1476599    1.250773
christian_~o |   1.685498    .857566     1.03   0.305     .6217916    4.568902
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |     -0.17564         1.94        1         0.1638
      mildictator |     -0.22054         3.10        1         0.0783
      mildict_IMET|      0.27033         4.59        1         0.0322
      USmilact_y~o|      0.13775         1.32        1         0.2509
      soviet_for~t|     -0.18881         1.42        1         0.2333
      USeconaid_~m|      0.05401         0.08        1         0.7723
      newc        |     -0.02827         0.06        1         0.8065
      britcol     |     -0.03764         0.06        1         0.8137
      open_i      |      0.18799         1.81        1         0.1780
      GDP_rescaled|     -0.22505         2.12        1         0.1454
      Ethnic_gp   |     -0.13255         1.30        1         0.2533
      muslim_maj~o|     -0.04370         0.09        1         0.7615
      christian_~o|     -0.22813         2.76        1         0.0968
      ------------+---------------------------------------------------
      global test |                     10.72       13         0.6346
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. log close
       log:  C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\table4.log
  log type:  text
 closed on:   3 May 2006, 22:51:27
-------------------------------------------------------------------------------------------------------------------------------------------
